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[MRG] Added missing sag_solver documentation #10172

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Merged
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Nov 23, 2017
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[MRG] Added missing sag_solver documentation #10172

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4bc025a
update sag solver docs (#10150)
patrick1011 Nov 23, 2017
11211be
tweak
lesteve Nov 23, 2017
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8 changes: 7 additions & 1 deletion sklearn/linear_model/sag.py
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Expand Up @@ -131,7 +131,13 @@ def sag_solver(X, y, sample_weight=None, loss='log', alpha=1., beta=0.,
*loss='multinomial'*

alpha : float, optional
Constant that multiplies the regularization term. Defaults to 1.
L2 regularization term in the objective function
``(0.5 * alpha * || W ||_F^2)``. Defaults to 1.

beta : float, optional
L1 regularization term in the objective function
``(beta * || W ||_1)``. Only applied if ``is_saga`` is set to True.
Defaults to 0.

max_iter : int, optional
The max number of passes over the training data if the stopping
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